Learning Approaches in Signal Processing (Pan Stanford Series on Digital Signal Processing)
by: Wan-Chi Siu
ISBN-10: 9814800503
ISBN-13: 9789814800501
Edition 版本: 1
Released: 2018-11-28
Pages: (678 pages
Book Description
Coupled with machine learning,the use of signal processing techniques for big data analysis,Internet of things,smart cities,security,and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data,speech,image,and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests,sparsity,and low-rank matrix estimation and cutting-edge visual/signal processing techniques,including face recognition,Kalman filtering,and multirate DSP. It discusses the applications that make use of deep learning,convolutional neural networks,random forests,etc. The applications include super-resolution imaging,fringe projection profilometry,human activities detection/capture,gesture recognition,spoken language processing,cooperative networks,bioinformatics,DNA,and healthcare.
Learning Approaches in Signal Processing 9789814800501.pdf:
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